EZINE:
In this week's Computer Weekly, the proliferation of ethical frameworks has done little to change how artificial intelligence is developed – we look at the challenges. We examine the future of the UK semiconductor sector as the government launches a review. And we hear how NatWest has put data at the heart of customer strategy. Read the issue now.
EBOOK:
To celebrate Computer Weekly's 50th anniversary, the National Museum of Computing, which holds the print archives of the magazine, has scanned the first issue of Computer Weekly. We have made this available to download.
EZINE:
In this week's Computer Weekly, we examine the impact of climate change on datacentres as potential victims and contributors to the problem. We look at the rise of voice channels and how IT leaders can use the technology for better customer experience. And we ask what lessons must be learned from Ecuador's citizens' data breach. Read the issue now.
ANALYST REPORT:
The dread of any IT manager is in making a significant purchase of hardware or software to then find that they are 'locked in' to one supplier. But analyst Clive Longbottom asks, is this still the case?
EZINE:
This month's MicroScope ezine looks at the issues around device as a service (DaaS), the outlook from HP and a report from the UK CompTIA conference.
EGUIDE:
In this Jargon Buster, we'll explore some key definitions around Voice over IP, and look at how VoIP fits into the wider unified communications landscape.
EGUIDE:
The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of June over the past few decades.
EGUIDE:
Machine learning examples are finally making their way to the home territory of computer science – the data center. Learn why data centers are an ideal environment for machine learning and explore examples of machine learning found in data centers.
EGUIDE:
Access this e-guide to get a strategy in place to ease your transition to HCI and reduce your hardware needs, as well as time spent working on storage and hypervisors.
